Evidence map›Paper›PMID 33839363›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2021

Novel Preclinical Patient-Derived Lung Cancer Models Reveal Inhibition of HER3 and MTOR Signaling as Therapeutic Strategies for NRG1 Fusion-Positive Cancers.

Igor Odintsov, Marissa S Mattar, Allan J W Lui, Michael Offin, Christopher Kurzatkowski, Lukas Delasos, Inna Khodos, Marina Asher, Robert M Daly, Natasha Rekhtman and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.2field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. FTO-mediated mActa pharmaceutica Sinica. B · 2026
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  7. Prevalence and Therapeutic Targeting of High-Level ERBB2 Amplification in NSCLC.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2024
    Article
  8. HER4 and EGFR Activate Cell Signaling in NRG1 Fusion-Driven Cancers: Implications for HER2-HER3-specific Versus Pan-HER Targeting Strategies.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2024
    Article
  9. Review
  10. Combination Therapy With MDM2 and MEK Inhibitors Is Effective in Patient-Derived Models of Lung Adenocarcinoma With Concurrent Oncogenic Drivers and MDM2 Amplification.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Igor OdintsovDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Marissa S MattarAnti-Tumor Assessment Core Facility, Department of Pharmacology, Memorial Sloan Kettering Cancer Center, New York, New York.
Allan J W LuiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Michael OffinDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Christopher KurzatkowskiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Lukas DelasosDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Inna KhodosAnti-Tumor Assessment Core Facility, Department of Pharmacology, Memorial Sloan Kettering Cancer Center, New York, New York.
Marina AsherDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Robert M DalyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Natasha RekhtmanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Elisa de StanchinaAnti-Tumor Assessment Core Facility, Department of Pharmacology, Memorial Sloan Kettering Cancer Center, New York, New York.
Gopinath GanjiResearch and Development, GlaxoSmithKline, Collegeville, Pennsylvania.
Marc LadanyiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: ladanyim@mskcc.org.
Romel SomwarDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Memorial Sloan Kettering Cancer Center · USGlaxoSmithKline (United States) · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
The Role of Focal Oncogene Amplifications in Lung CancerP01CA129243 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Marc Ladanyi · 2007 to 2026
$31.2M
MSKCC Pilot Center for Precision Disease ModelingU54OD020355 · OD · SLOAN-KETTERING INST CAN RESEARCH · PI LOWE, SCOTT W., SOLIT, DAVID B. · 2015 to 2019
$9.9M
NCI NIH HHS P01 CA129243NCI NIH HHS P30 CA008748NIH HHS U54 OD020355
6 · The paper itself

Abstract

introductionNRG1 rearrangements produce chimeric ligands that subvert the ERBB pathway to drive tumorigenesis. A better understanding of the signaling networks that mediate transformation by NRG1 fusions is needed to inform effective therapeutic strategies. Unfortunately, this has been hampered by a paucity of patient-derived disease models that faithfully recapitulate this molecularly defined cancer subset.

methodsPatient-derived xenograft (PDX) and cell line models were established from NRG1-rearranged lung adenocarcinoma samples. Transcriptomic, proteomic, and biochemical analyses were performed to identify activated pathways. Efficacy studies were conducted to evaluate HER3- and MTOR-directed therapies.

resultsWe established a pair of PDX and cell line models of invasive mucinous lung adenocarcinoma (LUAD) (LUAD-0061AS3, SLC3A2-NRG1), representing the first reported paired in vitro and in vivo model of NRG1-driven tumors. Growth of LUAD-0061AS3 models was reduced by the anti-HER3 antibody GSK2849330. Transcriptomic profiling revealed activation of the MTOR pathway in lung tumor samples with NRG1 fusions. Phosphorylation of several MTOR effectors (S6 and 4EBP1) was higher in LUAD-0061AS3 cells compared with human bronchial epithelial cells and the breast cancer cell line MDA-MB-175-VII (DOC4-NRG1 fusion). Accordingly, LUAD-0061AS3 cells were more sensitive to MTOR inhibitors than MDA-MB-175-VII cells and targeting the MTOR pathway with rapamycin blocked growth of LUAD-0061AS3 PDX tumors in vivo. In contrast, MDA-MB-175-VII breast cancer cells had higher MAPK pathway activation and were more sensitive to MEK inhibition.

conclusionsWe identify the MTOR pathway as a candidate vulnerability in NRG1 fusion-positive lung adenocarcinoma that may warrant further preclinical evaluation, with the eventual goal of finding additional therapeutic options for patients in whom ERBB-directed therapy fails. Moreover, our results uncover heterogeneity in downstream oncogenic signaling among NRG1-rearranged cancers, possibly tumor type-dependent, the therapeutic significance of which requires additional investigation.

Indexed as

Lung NeoplasmsProteomicsCell Line, TumorHumansNeuregulin-1Oncogene Proteins, FusionTOR Serine-Threonine KinasesMTOR protein, humanNeuregulin-1NRG1 protein, humanOncogene Proteins, FusionTOR Serine-Threonine KinasesGSK2849330HER3 antibodyLung adenocarcinomaNRG1 fusion

Identifiers

PMID33839363
PMCPMC9261529
OpenAlexW3154591646

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.